![rw-book-cover](https://readwise-assets.s3.amazonaws.com/static/images/article1.be68295a7e40.png) ## Metadata - Author: [[david-jayatillake-from-davidj.substack|David Jayatillake From Davidj]] - Full Title:: Junior Extinction - Category:: #🗞️Articles - Document Tags:: [[Foundation models|Foundation Models]], - Read date:: [[2025-07-30]] ## Highlights > • *Prompting and directing AI agents precisely* > • *Clear communication, turning complex ideas into effective prompts* > • *Multi-tasking expertise, quickly and constantly context-switching and responding to different AIs at their stopping points* > • *AI orchestration, using different AI agents and having them check each other* > • *Managing AI workflows and knowing when to intervene* > • *Native AI intuition, an intuitive understanding of how AI works, where it is likely to go wrong, and how to keep it on track* ([View Highlight](https://read.readwise.io/read/01k1bxxy4da1g7qgryt41b8pj6)) > We’re also seeing that the successful products of this generation are not expensive SaaS tools with enterprise sales cycles. They are cheap subscription-based products which cost $10 to $20¹ per user per month. ([View Highlight](https://read.readwise.io/read/01k1by0etvws5mgabcs3byj3kz)) > These products ship updates daily; they aren’t overly concerned with shipping a few bugs because their customers don’t pay enough to complain very loudly. The key is taste - does the product work well enough to please their customer, does the velocity in releases keep the product ahead of the competition sufficiently that customers don’t jump ship². ([View Highlight](https://read.readwise.io/read/01k1by0vypb5zyyacp0tay59qq))